Distributed Hydrologic Modeling Using GIS

During ten years serving with the USDA Soil Conservation Service (SCS), now known as the Natural Resources Conservation Service (NRCS), I became amazed at how millions of dollars in contract monies were spent based on simplistic hydrologic models. As project engineer in western Kansas, I was respons...

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Bibliographic Details
Main Author: Vieux, Baxter E.
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 2001, 2001
Edition:1st ed. 2001
Series:Water Science and Technology Library
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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505 0 |a 1. Distributed Hydrologic Modeling Using GIS -- 2. Data Sources and Structures -- 3. Surface Generation -- 4. Information Content and Spatial Variability -- 5. Infiltration -- 6. Hydraulic Roughness -- 7. Drainage Network and Topography -- 8. Precipitation -- 9. r.water.fea — An Introduction -- 10. Calibration -- 11. Distributed Modeling Case Studies 
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520 |a During ten years serving with the USDA Soil Conservation Service (SCS), now known as the Natural Resources Conservation Service (NRCS), I became amazed at how millions of dollars in contract monies were spent based on simplistic hydrologic models. As project engineer in western Kansas, I was responsible for building flood control dams (authorized under Public Law 566) in the Wet Walnut River watershed. This watershed is within the Arkansas-Red River basin, as is the Illinois River basin referred to extensively in this book. After building nearly 18 of these structures, I became Assistant State Engineer in Michigan and, for a short time, State Engineer for NRCS. Again, we based our entire design and construction program on simplified relationships variously referred to as the SCS method. I recall announcing that I was going to pursue a doctoral degree and develop a new hydrologic model. One of my agency's chief engineers remarked, "Oh no, not another model!" Since then, I hope that I have not built just another model but have significantly advanced the state of hydrologic modeling for both researchers and practitioners. Using distributed hydrologic techniques described in this book, I also hope one day to forecast the response of the dams I built